This repository contains a study which includes analysis of self water and electricity consumption, and the relation between consumption and the variation of local temperature and relative humidity.
Repository content list:
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README.md
This document
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Analysis_Report.pdf
Detailed report with analysis on findings from the notebooks. Text in Brazilian Portuguese and English.
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Correlation_Notebook.ipynb
Jupyter notebook with Python code and some comments for features correlation analysis.
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Electricity_Notebook.ipynb
Jupyter notebook with Python code and some comments for data reading, cleaning and initial analysis on electricity consumption.
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Water_Notebook.ipynb
Jupyter notebook with Python code and some comments for data reading, cleaning and initial analysis on water consumption.
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Weather_Notebook.ipynb
Jupyter notebook with Python code and some comments for data reading, cleaning and initial analysis on temperature and relative humidity.
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Data_source brach
CSV file with electricity consumption collected by the author from utilities bills.
CSV files with meteorological data collected by the INMET from its automatic station A518.
CSV file with water consumption collected the author from utilities bills.
Feather files generated from exported Pandas dataframes.
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Images branch
Images saved to from notebooks results to be used in report.